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dagger/docs/learn/1006-google-cloud-run.md
Benjamin Reigner 50496f9bf0
docs: fix cue file path for gcp doc part
In the documentation the specified path for the source.cue indicates
it under the cue.mod folder, meanwhile everything is set up outside of
it. Puting the source.cue file in its specified folder resulted in the
example not working, meanwhile puting it in the gcpcloudrun folder
directly resulted in the example perfectly working

Signed-off-by: Benjamin Reigner <benjamin.reigner@epitech.eu>
2021-11-07 19:50:32 +01:00

76 lines
1.5 KiB
Markdown

---
slug: /1006/google-cloud-run/
---
# Deploy to Google Cloud Run with Dagger
This tutorial illustrates how to use Dagger to build, push and deploy Docker images to Cloud Run.
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
## Initialize a Dagger Project and Environment
### (optional) Setup example app
You will need the local copy of the [Dagger examples repository](https://github.com/dagger/examples) used in previous guides
```shell
git clone https://github.com/dagger/examples
```
Make sure that all commands are being run from the todoapp directory:
```shell
cd examples/todoapp
```
### Organize your package
Let's create a new directory for our Cue package:
```shell
mkdir gcpcloudrun
```
### Create a basic plan
```cue file=./tests/gcpcloudrun/source.cue title="todoapp/gcpcloudrun/source.cue"
```
## Set up the environment
### Create a new environment
Let's create a project:
```shell
dagger init
```
Let's create an environment to run it:
```shell
dagger new 'gcpcloudrun' -p ./gcpcloudrun
```
### Configure user inputs
```shell
dagger input dir src . -e gcpcloudrun
dagger input text deploy.name todoapp -e gcpcloudrun
dagger input text imageRef gcr.io/<your-project>/todoapp -e gcpcloudrun
dagger input text gcpConfig.region us-west2 -e gcpcloudrun
dagger input text gcpConfig.project <your-project> -e gcpcloudrun
dagger input secret gcpConfig.serviceKey -f ./gcp-sa-key.json -e gcpcloudrun
```
## Deploy
Now that everything is set correctly, let's deploy on Cloud Run:
```shell
dagger up -e gcpcloudrun
```